npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

fast-loops

v1.1.4

Published

Small, performant & immutable iteration utilities for Arrays and Objects

Downloads

4,718,219

Readme

Fast Loops

A collection of small, performant & immutable iteration utilities for Arrays and Objects.

Installation

yarn add fast-loops

Alternatively use npm i --save fast-loops.

Why?

Because JavaScript's native "functional" APIs such as forEach, reduce, map and filter are slow. There're many different utility packages out there already, e.g. lodash. But lodash's reduce method itself is 4.5kb gzipped which is way too much for a simple Array/Object reduce utility.

API

All methods are immutable by defaults, yet they're not safe from mutating.

arrayEach(arr, iterator)

Iterates over each value in the array. Similar to Array.prototype.forEach.

  1. arr (Array): The array to iterate over
  2. iterator (Function): The iterator method with the signature (value, index, length, arr) => void
import { arrayEach } from 'fast-loops'

arrayEach([1, 2, 3], console.log)
// 1, 0, 3, [1, 2, 3]
// 2, 1, 3, [1, 2, 3]
// 3, 2, 3, [1, 2, 3]

arrayFilter(arr, filter)

Filters an array according to the filter criteria. Similar to Array.prototype.filter.

  1. arr (Array): The array that gets filtered
  2. filter (Function): The filter method with the signature (value, index, length, arr) => boolean
import { arrayFilter } from 'fast-loops'

const biggerThan2 = arrayFilter([1, 2, 3, 4], value => value > 2)

console.log(biggerThan2)
// => [3, 4]

arrayMap(arr, mapper)

Maps an array by running the mapper on each value. Similar to Array.prototype.map.

  1. arr (Array): The array that gets mapped
  2. mapper (Function): The mapping method with the signature (value, index, length, arr) => newValue
import { arrayMap } from 'fast-loops'

const square = arrayMap([1, 2, 3, 4], value => value * value)

console.log(square)
// => [1, 4, 9, 16]

arrayReduce(arr, reducer, accumulator)

Reduces an array based on the accumulator. Similar to Array.prototype.reduce.

  1. arr (Array): The array that gets reduced
  2. reducer (Function): The reducer method with the signature (accumulator, value, index, length, arr) => accumulator
  3. accumulator (any): The initial accumulator value
import { arrayReduce } from 'fast-loops'

const sum = arrayReduce([1, 2, 3, 4], (out, value) => out + value, 0)

console.log(sum)
// => 10

objectEach(obj, iterator)

Iterates over each key in the object.

  1. obj (Object): The object to iterate over
  2. iterator (Function): The iterator method with the signature (value, key, obj) => void
import { objectEach } from 'fast-loops'

objectEach({ 1: 10, 2: 20, 3: 30 }, console.log)
// 10, 1, { 1: 10, 2: 20, 3: 30 }
// 20, 2, { 1: 10, 2: 20, 3: 30 }
// 30, 3, { 1: 10, 2: 20, 3: 30 }

objectFilter(obj, filter)

Filters an object's keys according to the filter criteria.

  1. obj (Object): The object that gets filtered
  2. filter (Function): The filter method with the signature (value, key, obj) => boolean
import { objectFilter } from 'fast-loops'

const filter = (value, key) => value > 20 && parseInt(key) % 2 !== 0
const biggerThan20AndOddKey = objectFilter({ 1: 10, 2: 20, 3: 30, 4: 40 }, filter)

console.log(biggerThan20AndOddKey)
// => { 3: 30 }

objectFind(obj, query)

Tries to find a key-value pair that matches the query. Returns the matching key or undefined if none matches. It's like Array.prototype.find but for objects.

  1. obj (Object): The object that gets queried
  2. query (Function): The query method with the signature (value, key, obj) => boolean
import { objectFind } from 'fast-loops'

const query = (value, key) => value > 20 && parseInt(key) % 2 === 0
const biggerThan20AndEvenKey = objectFind({ 1: 10, 2: 20, 3: 30, 4: 40 }, query)

console.log(biggerThan20AndEvenKey)
// => "4"

objectMap(obj, mapper)

Maps an object by running the mapper on each value. Similar to Object.keys(obj).map(mapper).

  1. obj (Object): The object that gets reduced
  2. mapper (Function): The mapper method with the signature (value, key, obj) => newValue
import { objectMap } from 'fast-loops'

const mapped = objectMap({ 1: 10, 2: 20, 3: 30 }, (value, key) => value + parseInt(key))

console.log(mapped)
// => { 1: 11, 2: 22, 3: 33 }

objectReduce(obj, reducer, accumulator)

Reduces an object based on the accumulator.

  1. obj (Object): The object that gets reduced
  2. reducer (Function): The reducer method with the signature (accumulator, value, key, obj) => accumulator
  3. accumulator (any): The initial accumulator value
import { objectReduce } from 'fast-loops'

const sumOfValues = objectReduce({ 1: 10, 2: 20, 3: 30 }, (out, value) => out + value, 0)

console.log(sumOfValues)
// => 60

objectRenameKeys(obj, keys)

Renames object keys.

Uses objectReduce under the hood.

  1. obj (Object): The object that gets reduced
  2. keys (Object): The keys mapping an old key to a new key
import { objectRenameKeys } from 'fast-loops'

const renamedObj = objectRenameKeys({ foo: 1, bar: 2 }, { foo: "baz" })

console.log(sumOfValues)
// => { baz: 1, bar: 2 }

objectMergeDeep(base, ...objs)

Recursively merges objects into a base object.

  1. base (Object): The base object which is changed
  2. objs (Array<Object>): A list of objects to be merged into the base object
import { objectMergeDeep } from 'fast-loops'

const base = {
  foo: 1,
  bar: {
    foo: 2
  }
}
const mergedObj = objectMergeDeep(base, { baz: 3 }, { bar: { foo: 3 }})

console.log(mergedObj)
// => { foo: 1, bar: { foo: 3 }, baz: 3 }

Direct Imports

While we support the module key to support Tree Shaking, you might still want to import single methods without any overhead. You can import every method using the full path to the method resource.

import objectReduce from 'fast-loops/lib/objectReduce'

License

fast-loops is licensed under the MIT License. Documentation is licensed under Creative Common License. Created with ♥ by @rofrischmann.